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Judy A Stamps1, Peter A Biro2, David J Mitchell2

  • 1Department of Evolution and Ecology, University of California, Davis, California 95616.

Evolution; International Journal of Organic Evolution
|August 23, 2018
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Summary
This summary is machine-generated.

Evolutionary genetics models predict how an organism

Keywords:
Aversive conditioningDrosophila melanogasterGxEdevelopmental plasticitylearning

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Area of Science:

  • Evolutionary Genetics
  • Developmental Plasticity
  • Behavioral Genetics

Background:

  • Genotype-environment interactions are crucial in evolutionary genetics but often lack theoretical prediction.
  • Bayesian models of development offer a theoretical framework to predict genotypic differences in developmental plasticity.
  • Developmental plasticity involves changes in traits due to experience, influenced by initial trait values in naive subjects.

Purpose of the Study:

  • To test predictions from Bayesian models of development regarding genotype-environment interactions.
  • To investigate how aversive olfactory conditioning affects Drosophila melanogaster larval attraction to ethyl acetate across different genotypes.
  • To determine if initial trait values predict developmental plasticity in response to learned aversions.

Main Methods:

  • Utilized Bayesian models to make a priori predictions about genotypic responses to olfactory conditioning.
  • Exposed 116 genotypes of Drosophila melanogaster larvae to an aversive olfactory conditioning regime with ethyl acetate.
  • Measured larval attraction to ethyl acetate before and after the conditioning experience.

Main Results:

  • As predicted, initial trait values (naïve attraction) were significantly related to developmental plasticity.
  • Genotypes with higher initial attraction to ethyl acetate showed a greater reduction in attraction after aversive training.
  • The variance in genotype attraction scores was higher before than after the shared conditioning experience.

Conclusions:

  • The results support the predictive power of Bayesian models of development in evolutionary genetics.
  • These models can successfully predict how ancestral information and individual experience interact to shape developmental plasticity.
  • Demonstrated differential effects of experience on plasticity based on genotype and initial trait expression.